The posting
Job Description
Key Accountabilities:
Create an effective and interconnected SMSRC Data Ecosystem: Design and facilitate the flow, exchange and interchange of Big Data (7 Vs of Big Data: Volume, Variety, Velocity, Variability, Visualisation, Veracity, Value). Understand how SMSRC’s assets (people, hardware, software) interact with each other to better manage the generation and flow of data. Envision how the PML data ecosystem could interact with the wider global data ecosystems, and then make it happen. Cognizant of FAIR (findability, accessibility, interoperability, and reusability) principles and apply them to the SMSRC data ecosystem and how it interacts externally.
Facilitate the use of data: Understand the purpose and the value of datasets and how they are used, repurposed and reconstructed to allow new scientific discovery. Understand the most suitable format of data to use for a given problem. Understand the importance of data synthesis and implement the best methods for data integration. Create geographically referenced data portal to support data discovery and visualization.
Support autonomy and digitization: Envision the implementation of SMSRC’s digital ambition and make AI / ML a key component within that. Be aware of the growing importance of digital twins, and can implement interoperable data flows.
Key Interactions:
Internal:
Head of Research and Innovation
Academic marine research and operational support staff at SMSRC
UKF students
Academic staff at UKF outside the School of Marine Science
SMSRC/UKF Information Technology staff
UKF operational staff (communications, partnerships, engagements, finance and procurement)
External
Academic and research collaborators
Contractors and logistics providers
Off-site data storage providers
Cyber security services
Qualification & Experience:
Experience of designing the flow, exchange and interchange of Big Data within a research environment
Understanding of the purpose and value of datasets and how to determine the most suitable format of data to use for a given purpose or problem
Understanding of the importance of data synthesis and able to implement the best methods for data integration
Experience with digital twins, data visualisation and Artificial Intelligence desirable.
Proven knowledge of marine science and research activities and outcomes.
Skills & Competencies:
Essential:
Strong organizational and project management skills
Teamwork capabilities
Innovative and creative thinking
Excellent communication and stakeholder engagement skills
Analytical thinking and problem-solving abilities
Desirable:
Familiarity with marine science and research activities
Flexibilty and adaptability
Background in, or associated with, academic or marine research institutions or data centres
Demonstrated interest in the marine environment



